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A Comprehensive Approach for Designing Business-Intelligence Solutions with Multi-agent Systems in Distributed Environments

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVII

Part of the book series: Lecture Notes in Computer Science ((TLDKS,volume 10940))

Abstract

Multi-agent systems (MAS) are an active research area of system engineering to deal with the complexity of distributed systems. Due to the complexity of business-intelligence (BI) generation in a distributed environment, the adaptation of such system is diverse due to integrated MAS and distributed data mining (DDM) technologies. Bringing these two frameworks together in the content of BI-systems poses challenges during the analysis, design, and test in the development life-cycle. The development processes of such complex systems demand a comprehensive methodology to systematically guide and support developers through the various stages of BI-system life-cycles. In the context of agent-based system engineering, several agent-oriented methodologies exist. Deploying the most suitable methodology is another challenge for developers. In this paper, we develop an exemplar of MAS-based BI-system called BI-MAS with comprehensive designing steps as a running case. For demonstrating the new approach, first we consider an evaluation process to find suitable agent-oriented methodologies. Second, we apply the selected methodologies in analyzing and designing concepts for BI-MAS life-cycles. Finally, we demonstrate a new approach of verification and validation processes for BI-MAS life-cycles.

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Author information

Authors and Affiliations

  1. School of Digital Technologies, Tallinn University, Narva Mnt 29, 10120, Tallinn, Estonia

    Karima Qayumi

  2. Large-Scale-Systems Group, Tallinn University of Technology, Akadeemia Tee 15a, 12616, Tallinn, Estonia

    Alex Norta

Authors
  1. Karima Qayumi
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  2. Alex Norta
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Correspondence to Karima Qayumi or Alex Norta .

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Editors and Affiliations

  1. IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  2. FAW, University of Linz, Linz, Austria

    Roland Wagner

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Qayumi, K., Norta, A. (2018). A Comprehensive Approach for Designing Business-Intelligence Solutions with Multi-agent Systems in Distributed Environments. In: Hameurlain, A., Wagner, R. (eds) Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVII. Lecture Notes in Computer Science(), vol 10940. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-57932-9_4

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  • DOI: https://doi.org/10.1007/978-3-662-57932-9_4

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